Originally published on tamiz.pro .

The AI agent landscape has shifted rapidly from simple prompt-engineering experiments to complex, multi-step autonomous systems. As these systems grow in sophistication, the underlying architecture that connects LLMs, tools, memory, and workflows becomes the critical differentiator between a fragile prototype and a production-grade platform. The recent

The recent explosion of open-source orchestration frameworks—LangChain, LlamaIndex, AutoGen, CrewAI, and the like—has given developers a false sense of security. They ship a "glue layer": a collection of prompt templates, chain abstractions, and tool wrappers that make the first demo feel magical. But when latency spikes, token costs balloon, or a downstream API deprecates a parameter, the glue dissolves. You're left patching Runnable subclasses at 3 a.m., wondering why your "agent" just sent 40 k tokens to summarize a two-sentence email.

A gateway is not a thicker glue layer.…